Most neural networks use the inference accuracy of image classification as an evaluation metric. We first compared the training/testing accuracy with the CIFAR-10 dataset [1]}, which consists of 50000 training images and 10000 test images (in 10 classes). fig:histogramsweights illustrates the distribution of the weights of the first convolutional layer (the behavior is similar for other layers) at epochs 20, 39, 55, and 99.
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